Energy Fuels (UUUU) Operating Expenses (2015 - 2026)
Energy Fuels (UUUU) posted Operating Expenses of $55.68 million for Q2 2026, up 83.2% from $30.39 million a year earlier and up 5.5% from the prior quarter.
Energy Fuels (UUUU) Operating Expenses (2015 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Operating Expenses at Energy Fuels was $202.05 million, up 27.9% year-over-year; for FY2025, it was $167.08 million, up 33.0% from FY2024.
- Annual Operating Expenses has increased for five consecutive years, with a five-year compound annual growth rate of 54.9% (FY2020 to FY2025).
- In prior years, Energy Fuels' Operating Expenses was $125.63 million in FY2024 (+78.7%), $70.3 million in FY2023 (+22.4%), $57.45 million in FY2022 (+120.6%) and $26.05 million in FY2021 (+39.2%).
- The Q2 2026 figure stands as the highest quarterly Operating Expenses since Q4 2024.
- On a year-over-year basis, Operating Expenses increased in seven of the last eight quarters, with growth averaging 111.4%.
- The strongest year-over-year quarter for Operating Expenses in the past five years was Q4 2024, with growth of 417.8%; the weakest was Q4 2025, with a decline of 28.1%.
- According to Business Quant data, Operating Expenses for the three prior quarters was $52.77 million (Q1 2026), $49.22 million (Q4 2025) and $44.38 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Cameco | 37.84 Bn | 33.63 Bn | 190.14 Mn | 9.50 Mn |
| 2 | NexGen Energy | 5.97 Bn | 3.49 Bn | - | 301,459.84 |
| 3 | Warrior Met Coal | 4.65 Bn | 3.35 Bn | 169.64 Mn | 415.17 Mn |
| 4 | Uranium Energy | 4.61 Bn | 3.03 Bn | 10.03 Mn | 45.84 Mn |
| 5 | Core Natural Resources | 4.31 Bn | 2.55 Bn | 252.03 Mn | 985.26 Mn |
| 6 | Alliance Resource Partners | 3.14 Bn | 2.83 Bn | 202.70 Mn | 455.98 Mn |
| 7 | Peabody Energy | 2.97 Bn | 823.82 Mn | - | 953.90 Mn |
| 8 | Energy Fuels | 2.74 Bn | -196.21 Mn | 14.42 Mn | 55.68 Mn |
| 9 | Centrus Energy | 2.66 Bn | -4.67 Bn | 49.90 Mn | 37.00 Mn |
| 10 | Alpha Metallurgical Resources | 2.11 Bn | 526.83 Mn | 49.19 Mn | 503.36 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 55.68 Mn |
| Mar 31, 2026 | 52.77 Mn |
| Dec 31, 2025 | 49.22 Mn |
| Sep 30, 2025 | 44.38 Mn |
| Jun 30, 2025 | 30.39 Mn |
| Mar 31, 2025 | 43.09 Mn |
| Dec 31, 2024 | 68.50 Mn |
| Sep 30, 2024 | 15.96 Mn |
| Jun 30, 2024 | 17.76 Mn |
| Mar 31, 2024 | 23.41 Mn |
| Dec 31, 2023 | 13.23 Mn |
| Sep 30, 2023 | 9.82 Mn |
| Jun 30, 2023 | 11.28 Mn |
| Mar 31, 2023 | 9.12 Mn |
| Dec 31, 2022 | 11.41 Mn |
| Sep 30, 2022 | 11.11 Mn |
| Jun 30, 2022 | 5.92 Mn |
| Mar 31, 2022 | 6.39 Mn |
| Dec 31, 2021 | 7.21 Mn |
| Sep 30, 2021 | 5.77 Mn |
Energy Fuels Operating Expenses API
Pull this series into your own models, spreadsheets and apps with the Business Quant
Historical Metrics API. The request below matches the chart above — change the
frequency, period or values and it follows. Swap YOUR_API_KEY for your own key.
https://data.businessquant.com/historic?slug=operating-expenses&ticker=UUUU&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "UUUU", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=operating-expenses&ticker=UUUU&period=max&api_key=YOUR_API_KEY");
const data = await res.json();